Sounds created by a periodic process have a Fourier representation with harmonic structure – i.e., components at multiples of a fundamental frequency. Harmonic frequency relations are a prominent feature of speech and many other natural sounds. Harmonicity is closely related to the perception of pitch and is believed to provide an important acoustic grouping cue underlying sound segregation. He...

This paper presents segmentation of multi-speaker meeting audio into four different classes: local speech, crosstalk, overlapped speech and non-speech sounds. Firstly, Bayesian Information Criterion (BIC) segmentation method is used to pre-segment the meeting according to speaker changing points. Then, harmonicity information is integrated into acoustic features to differentiate speech from non...

1.1 The aim 1 Harmonicity and spectral envelope Alain de Cheveigné (CNRS/ATR-HIP)

We propose a new algorithm for voiced/unvoiced classification of speech on a phoneme or sample level. The algorithm is inspired by auditory based approaches and combines two cues. One cue is based on the energy distribution of the signal and the other on the harmonicity. In order to extract the harmonicity of the signal we calculate a histogram of the zero crossings of the filter channels after...

In everyday life, we frequently alternate between performing discrete and rhythmic movements. When performing a periodic movement, two distinct movement types can be distinguished: highly harmonic vs. discrete-like. The harmonicity of the movement is used to classify it as one or the other. We asked: (1) whether the frequency at which a periodic movement is performed affects the harmonicity of ...